sci-f / apps Goto Github PK
View Code? Open in Web Editor NEWModular application recipes for the Scientific Filesystem (SCIF)
Home Page: https://sci-f.github.io/apps
License: BSD 3-Clause "New" or "Revised" License
Modular application recipes for the Scientific Filesystem (SCIF)
Home Page: https://sci-f.github.io/apps
License: BSD 3-Clause "New" or "Revised" License
There are a number of links pointing to https://containers-ftw.github.io which no longer work. I assume the main URL was changed at some point, and a few places were missed.
For example on the masthead of the GitHub repo:
And in the generated index.json
file for the apps API (https://sci-f.github.io/apps/api/index.json):
Searching for "containers-ftw" in the organization shows following occurrences in code:
https://github.com/search?q=org%3Asci-f+%22containers-ftw%22&type=Code
I'm happy to help fix this, and creating this issue so I don't forget.
can it do a PR directly to Github?
Hi,
I'm trying to learn using docker and following the examples, but https://github.com/sci-f/sci-f.github.io/blob/master/_posts/tutorials/cowsay.scif is missing.
I have been doing a bit with Singularity for the past year, but like the Sci-F %app* stuff in 2.4
I am currently looking to upgrade a keras/theano/tensorflow container image for my users using these features, but there are some aspects which do not seem to quite fit with the paradigm that is discussed in docs that I have read, which seem to stress workflow more than modularity. I am willing to submit the resultant image to shub, but to do so it would be good to adhere to community standards.
Basically, I install some useful libs, python 2 and 3, and then python packages for each of keras, theano, and tensorflow for each python version. (And eventually want to add cuda/nocuda options as well, but for now assume no cuda). All three of the main packages (keras/theano/tensorflow) are
primarily just python modules (although one or two have an auxilliary command), and keras can
be called with an environmental variable to specify whether it should use theano or tensorflow as
a backend.
My "modular install" approach would have %appinstall, etc. entries for
python2
python3
theano-py2
tensorflow-py2
keras-py2
theano-py3
tensorflow-py3
keras-py3
However, this seems overkill from the "workflow" paradigm, since from workflow perspective basically
there are only python2 and python3, plus entry points for the theano/tensorflow backends of keras.
If I do something to do both modularity and workflow, there become so many entry points that it would seem to lose some of the Sci-F design goals.
Any advice?
If not, we would want to test that the app builds in CI by using the tag to get the OS, and then building via extraction of the content in the markdown file.
and do we need tests?
using recipes from local storage!
to make the organization format more extendable, we've edited it to have a SCIF_
prefix (and not just be for singularity) so all examples need to be updated here (and with respective repos)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.